教与学优化算法在风力机变桨自抗扰控制中的应用

Application of Teaching-Learning Based Optimization Algorithm in Active Disturbance Rejection Control of Variable Pitch of Wind Turbines

随着风力机的发展越来越智能化,除了要求风力机的运行可靠性,还要求其有稳定的输出功率。为了使风力机变桨控制器在运行过程中具有优良的动态品质,提出了一种自抗扰控制(ADRC)的变桨距控制方案,但ADRC也存在参数多、整定难度大这一明显缺点。为此,将教与学算法应用到ADRC的整定过程中,实现了参数的自动整定。仿真结果验证了通过教与学算法自动整定ADRC参数的可行性,与传统PID控制器相比,整定后的ADRC能较好地满足风力机变桨距控制要求,有效维持了风力机输出功率的稳定性。

With the more and more intelligent development of wind turbine,in addition to requiring the reliability of wind turbine operation,it was also required that the wind turbine should have a stable output power curve in different environments.In order to make the variable pitch controller of wind turbines have good dynamic performance during operation,a variable pitch control scheme of active disturbance rejection control (ADRC) was proposed.But the ADRC also had the obvious disadvantage that many parameters were difficult to set.Therefore,the teaching- learning based algorithm were applied to the ADRC tuning process, and the parameters were automatically set.The simulation results verified the feasibility of auto-setting ADRC parameters by teaching-learning based algorithm.Compared with traditional PID controller,the set ADRC could better meet the requirements of variable pitch control of wind turbine and effectively maintain the stability of wind turbine output power.